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The guide method of being based on 3D 2D attitude presumption and the 3D CT registration which possesses the application to raw bronchial mirror inspection

机译:基于3D 2D姿势推定和3D CT配准的引导方法,在原始支气管镜检查中具有应用

摘要

Being raw, the method of guiding the doctor who is the bronchial mirror or in the midst of other endoscope dealing with. 3D motion of the bronchial mirror is presumed, high speed roughly using pursuit step and the spirit registration step which follows to that. As for pursuit, you discover 1 set of corresponding feature points which extend over the plural continual bronchial mirror video frames, you do by presuming the attitude where the bronchial mirror is new next. With form of desirable execution, as for attitude presumption, it is based on the linearization of the rotation matrix. It gives 1 set of corresponding points over all of the present bronchial mirror video picture, it can use the same method for also manual registration the hypothetical picture which in addition designates CT as the base as input by giving. As for spirit registration step, it is desirable to be the gauss Newton method which designates the slope which converts the correlation with the bronchial mirror video picture and the hypothetical picture which designates CT as the base maximally as the base. The continual guide is offered by presuming the 3D motion of the bronchial mirror with the loop. Because depth map information is available, to do by solving 3D 2D attitude presumption problem it is possible pursuit. 3D 2D attitude presumption problem is restrain than 2D 2D attitude presumption problem, influence of the restriction which accompanies the calculation of the basic matrix is not received. Use of the method of designating slope as the base because of registration by using the cost which designates correlation as the base in place of manual information as registration cost, becomes simpler.
机译:作为原始方法,指导作为支气管镜的医生或在其他内窥镜中进行治疗的方法。假定支气管镜的3D运动,高速使用大致跟随步骤和随后的精神配准步骤。对于追赶,您发现了一组在多个连续支气管镜视频帧上延伸的相应特征点,然后假设支气管镜是新的,就可以做到这一点。对于期望的推定,以期望执行的形式,它基于旋转矩阵的线性化。它在所有当前的支气管镜视频图像上给出一组对应的点,它可以使用相同的方法来手动配准假设图像,该图像另外还通过指定CT作为输入。至于精神配准步骤,期望是高斯牛顿法,其指定与支气管镜视频图像和将CT最大地指定为基准的假设图像转换相关性的斜率。通过假定带环的支气管镜的3D运动来提供连续指南。因为深度图信息可用,所以通过解决3D 2D姿态推定问题可以实现。 3D 2D姿态推定问题比2D 2D姿态推定问题受到约束,基本矩阵的计算没有受到约束的影响。通过使用将相关性指定为基准的成本代替人工信息作为注册成本,使用由于注册而将斜率指定为基准的方法变得更简单。

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